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Transformation algorithm of wind turbine blade moment signals for blade condition monitoring.

Authors :
Jae-Kyung Lee
Joon-Young Park
Ki-Yong Oh
Seung-Hwan Ju
Jun-Shin Lee
Source :
Renewable Energy: An International Journal. Jul2015, Vol. 79, p209-218. 10p.
Publication Year :
2015

Abstract

To simplify signal analysis on wind turbine blades and enable their efficient monitoring, this paper presents a novel method of transforming blade moment signals on a horizontal axis 3-blade wind turbine. Instead of processing 3-blade moment signals directly, the proposed algorithm transforms the three sinusoidal signals into two static signals relative to the center of blade rotation through vector synthesis and coordinate transformation, and eliminates frequency components due to blade rotation from the obtained signals. Moreover, as an alternative to a rotational sensor, a blade rotation angle estimator is introduced. Its effectiveness was confirmed through simulations and field tests on an actual wind turbine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09601481
Volume :
79
Database :
Academic Search Index
Journal :
Renewable Energy: An International Journal
Publication Type :
Academic Journal
Accession number :
109255591
Full Text :
https://doi.org/10.1016/j.renene.2014.11.030